Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity-Reference-Cited by-同舟云学术

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity

Author:

Liu Yanbei¹^ORCID,Li Henan²,Luo Tao³,Zhang Changqing³^ORCID,Xiao Zhitao¹,Wei Ying⁴,Gao Yaozong⁴,Shi Feng⁴,Shan Fei⁵^ORCID,Shen Dinggang⁶^ORCID

Affiliation:

1. School of Life Sciences, Tiangong University, Tianjin, China

2. School of Electrical and Electronic Engineering, Tiangong University, Tianjin, China

3. College of Intelligence and Computing, Tianjin University, Tianjin, China

4. Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China

5. Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China

6. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

Funder

National Natural Science Foundation of China

Tianjin Natural Science Foundation Project

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference60 articles.

3. Gaussian processes in machine learning;rasmussen;Machine Learning Summer School,2003

5. A joint 3D UNet-graph neural network-based method for airway segmentation from chest CTS;juarez;Proc Int Workshop Mach Learn Med Imag,2019

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献